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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 22032
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    Explanations

    references to technology and digital devices

    oai_token-act-pair · gpt-3.5-turbo

    topics related to personal life and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Canaver
    -0.76
    udicrous
    -0.76
    hement
    -0.69
    auld
    -0.66
     instituted
    -0.65
    witz
    -0.63
    available
    -0.62
     Purg
    -0.61
     Eag
    -0.60
     preached
    -0.59
    POSITIVE LOGITS
    mates
    0.94
     buddies
    0.93
     preferences
    0.92
     wardrobe
    0.90
     mates
    0.89
    collection
    0.87
     selves
    0.86
     buddy
    0.86
     arsenal
    0.85
    ido
    0.82
    Activations Density 0.352%

    No Known Activations